AIMC Topic: Neural Networks, Computer

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Hypertuned Deep Convolutional Neural Network for Sign Language Recognition.

Computational intelligence and neuroscience
Sign language plays a pivotal role in the lives of impaired people having speaking and hearing disabilities. They can convey messages using hand gesture movements. American Sign Language (ASL) recognition is challenging due to the increasing intra-cl...

Establishment of Economic Forecasting Model of High-tech Industry Based on Genetic Optimization Neural Network.

Computational intelligence and neuroscience
Scientific and accurate prediction of high-tech industries is of great practical significance for government departments to grasp the future economic operation and formulate development strategies. In this paper, aiming at some shortcomings of neural...

Computer Vision-Based Medical Cloud Data System for Back Muscle Image Detection.

Computational intelligence and neuroscience
The fast development of image recognition and information technology has influenced people's life and industry management mode not only in some common fields such as information management, but also has very much improved the working efficiency of va...

Detection of Dental Diseases through X-Ray Images Using Neural Search Architecture Network.

Computational intelligence and neuroscience
An important aspect of the diagnosis procedure in daily clinical practice is the analysis of dental radiographs. This is because the dentist must interpret different types of problems related to teeth, including the tooth numbers and related diseases...

Online Anomaly Detection of Industrial IoT Based on Hybrid Machine Learning Architecture.

Computational intelligence and neuroscience
Industrial IoT (IIoT) in Industry 4.0 integrates everything at the level of information technology with the level of technology of operation and aims to improve Business to Business (B2B) services (from production to public services). It includes Mac...

Improved Deep Neural Network for Cross-Media Visual Communication.

Computational intelligence and neuroscience
Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, improve the accuracy of visual communication scene reconstruction, and complete the task of visual real-...

Using DeepLab v3 + -based semantic segmentation to evaluate platelet activation.

Medical & biological engineering & computing
This research used DeepLab v3 + -based semantic segmentation to automatically evaluate the platelet activation process and count the number of platelets from scanning electron microscopy (SEM) images. Current activated platelet recognition and counti...

Deep Neural Network Recognition of Rivet Joint Defects in Aircraft Products.

Sensors (Basel, Switzerland)
The mathematical statement of the problem of recognizing rivet joint defects in aircraft products is given. A computational method for the recognition of rivet joint defects in aircraft equipment based on video images of aircraft joints has been prop...

Deep Neural Networks for Automatic Flower Species Localization and Recognition.

Computational intelligence and neuroscience
Deep neural networks are efficient methods of recognizing image patterns and have been largely implemented in computer vision applications. Object detection has many applications in computer vision, including face and vehicle detection, video surveil...

Underwater acoustic target recognition method based on a joint neural network.

PloS one
To improve the recognition accuracy of underwater acoustic targets by artificial neural network, this study presents a new recognition method that integrates a one-dimensional convolutional neural network and a long short-term memory network. This ne...